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4 DVB, 6 DVB SHAPE OF DATA: The shape of the data is another way of interpretation. By looking at the data through a visualization (shape) the reviewer can make global interpretations. For me this is much like the diagnostic interpretation of flow-volume loops. The shapes of flow-volume loops (compares two variables) will give the viewer an indication of physiological changes in the lungs. An interpretation (ie, certain loops indicate restrictive lung disease such as sarcoidosis, etc.) So I am suggesting that the shape of the data can indicate types or classifications that can then be further "diagnosed".
Normal distribution (bell curve) - mo = mdn = x
Right skew (the skewer points to the right) - positive values create a right skew. Also known as upward or positive skew.
Left skew (the skewer points to the left) - negative values create a left skew. Also known as downward or negative skew.
4 DVB, 6 DVB
SHAPE OF DATA: The shape of the data is another way of interpretation. By looking at the data through a visualization (shape) the reviewer can make global interpretations. For me this is much like the diagnostic interpretation of flow-volume loops. The shapes of flow-volume loops (compares two variables) will give the viewer an indication of physiological changes in the lungs. An interpretation (ie, certain loops indicate restrictive lung disease such as sarcoidosis, etc.) So I am suggesting that the shape of the data can indicate types or classifications that can then be further "diagnosed".
Normal distribution (bell curve) - mo = mdn = x
Right skew (the skewer points to the right) - positive values create a right skew. Also known as upward or positive skew.
Left skew (the skewer points to the left) - negative values create a left skew. Also known as downward or negative skew.